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Usage Information

Multimodal silica nanoparticles are effective cancer-targeted probes in a model of human melanoma
Miriam Benezra, Oula Penate-Medina, Pat B. Zanzonico, David Schaer, Hooisweng Ow, Andrew Burns, Elisa DeStanchina, Valerie Longo, Erik Herz, Srikant Iyer, Jedd Wolchok, Steven M. Larson, Ulrich Wiesner, Michelle S. Bradbury
Miriam Benezra, Oula Penate-Medina, Pat B. Zanzonico, David Schaer, Hooisweng Ow, Andrew Burns, Elisa DeStanchina, Valerie Longo, Erik Herz, Srikant Iyer, Jedd Wolchok, Steven M. Larson, Ulrich Wiesner, Michelle S. Bradbury
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Technical Advance Oncology

Multimodal silica nanoparticles are effective cancer-targeted probes in a model of human melanoma

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Abstract

Nanoparticle-based materials, such as drug delivery vehicles and diagnostic probes, currently under evaluation in oncology clinical trials are largely not tumor selective. To be clinically successful, the next generation of nanoparticle agents should be tumor selective, nontoxic, and exhibit favorable targeting and clearance profiles. Developing probes meeting these criteria is challenging, requiring comprehensive in vivo evaluations. Here, we describe our full characterization of an approximately 7-nm diameter multimodal silica nanoparticle, exhibiting what we believe to be a unique combination of structural, optical, and biological properties. This ultrasmall cancer-selective silica particle was recently approved for a first-in-human clinical trial. Optimized for efficient renal clearance, it concurrently achieved specific tumor targeting. Dye-encapsulating particles, surface functionalized with cyclic arginine–glycine–aspartic acid peptide ligands and radioiodine, exhibited high-affinity/avidity binding, favorable tumor-to-blood residence time ratios, and enhanced tumor-selective accumulation in αvβ3 integrin–expressing melanoma xenografts in mice. Further, the sensitive, real-time detection and imaging of lymphatic drainage patterns, particle clearance rates, nodal metastases, and differential tumor burden in a large-animal model of melanoma highlighted the distinct potential advantage of this multimodal platform for staging metastatic disease in the clinical setting.

Authors

Miriam Benezra, Oula Penate-Medina, Pat B. Zanzonico, David Schaer, Hooisweng Ow, Andrew Burns, Elisa DeStanchina, Valerie Longo, Erik Herz, Srikant Iyer, Jedd Wolchok, Steven M. Larson, Ulrich Wiesner, Michelle S. Bradbury

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Usage data is cumulative from June 2025 through June 2026.

Usage JCI PMC
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PDF 176 61
Figure 546 0
Table 169 0
Supplemental data 96 0
Citation downloads 143 0
Totals 2,584 161
Total Views 2,745
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ISSN: 0021-9738 (print), 1558-8238 (online)

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